Literature DB >> 32358635

PD-L1 diagnostics in the neoadjuvant setting: implications of intratumoral heterogeneity of PD-L1 expression in triple negative breast cancer for assessment in small biopsies.

E S Stovgaard1, M Bokharaey2, K List-Jensen3, A Roslind4, I Kümler5, E Høgdall4, D Nielsen5, E Balslev4.   

Abstract

PURPOSE: PD-L1 expression is a predictive biomarker for anti-PD-L1 immunotherapy in triple negative breast cancer (TNBC). In the neoadjuvant setting, immunohistochemical (IHC) evaluation of PD-L1 expression can only be performed on small tissue biopsies. In our study we investigated heterogeneity of PD-L1 expression in TNBC, and how reliably PD-L1 expression in small tissue samples reflects PD-L1 expression in larger tumor sections in TNBC.
METHODS: Tissue microarrays (TMAs) were constructed from surgical specimens of 110 patients with TNBC. TMAs contained 4 cores (1 mm in diameter) per patient. To evaluate PD-L1 expression, TMAs were stained with PD-L1 IHC 22C3 PharmDx. Single-core PD-L1 expression was compared to overall PD-L1 expression of each patient's tumor, to ascertain how often small samples of tumor tissue show the same PD-L1 expression as larger tumor samples.
RESULTS: Our study found substantial heterogeneity of PD-L1 expression between different TMA cores from the same patient. Heterogeneity was greater in immune cells (ICs) than in tumor cells, in large part due to the uneven distribution of ICs in the tumor. For IC PD-L1 expression, we found that sensitivity can be as low as 0.81 for detecting PD-L1 expression at the 1% threshold most commonly used in breast cancer. Negative predictive value for ICs was 0.7.
CONCLUSIONS: There is substantial heterogeneity of PD-L1 expression between small tissue samples from the same TNBC tumor, especially for IC expression. This poses challenges for evaluation of PD-L1 expression in the neoadjuvant setting. Negative biopsies should prompt further investigation, and multiple biopsies might be necessary.

Entities:  

Keywords:  Biomarker; Heterogeneity; Immune therapy; Neoadjuvant; PD-L1; Triple negative breast cancer

Mesh:

Substances:

Year:  2020        PMID: 32358635     DOI: 10.1007/s10549-020-05655-w

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  8 in total

1.  Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer.

Authors:  Xiuming Zhai; Zhaowei Yang; Xiji Liu; Zihe Dong; Dandan Zhou
Journal:  PeerJ       Date:  2020-09-21       Impact factor: 2.984

Review 2.  The current state of molecular profiling in gastrointestinal malignancies.

Authors:  Reetu Mukherji; Chao Yin; Rumaisa Hameed; Ali Z Alqahtani; Monika Kulasekaran; Aiwu R He; Benjamin A Weinberg; John L Marshall; Marion L Hartley; Marcus S Noel
Journal:  Biol Direct       Date:  2022-06-06       Impact factor: 7.173

3.  Spatial and Temporal Heterogeneity of PD-L1 Expression and Tumor Mutational Burden in Gastroesophageal Adenocarcinoma at Baseline Diagnosis and after Chemotherapy.

Authors:  Katherine I Zhou; Bryan Peterson; Anthony Serritella; Joseph Thomas; Natalie Reizine; Stephanie Moya; Carol Tan; Yan Wang; Daniel V T Catenacci
Journal:  Clin Cancer Res       Date:  2020-08-20       Impact factor: 12.531

Review 4.  Determining Factors in the Therapeutic Success of Checkpoint Immunotherapies against PD-L1 in Breast Cancer: A Focus on Epithelial-Mesenchymal Transition Activation.

Authors:  Mariana Segovia-Mendoza; Susana Romero-Garcia; Cristina Lemini; Heriberto Prado-Garcia
Journal:  J Immunol Res       Date:  2021-01-07       Impact factor: 4.818

Review 5.  From rough to precise: PD-L1 evaluation for predicting the efficacy of PD-1/PD-L1 blockades.

Authors:  Xuan Zhao; Yulin Bao; Bi Meng; Zijian Xu; Sijin Li; Xu Wang; Rui Hou; Wen Ma; Dan Liu; Junnian Zheng; Ming Shi
Journal:  Front Immunol       Date:  2022-08-03       Impact factor: 8.786

6.  The risk of PD-L1 expression misclassification in triple-negative breast cancer.

Authors:  Shani Ben Dori; Asaf Aizic; Asia Zubkov; Shlomo Tsuriel; Edmond Sabo; Dov Hershkovitz
Journal:  Breast Cancer Res Treat       Date:  2022-05-27       Impact factor: 4.624

7.  Neither Tumor-Infiltrating Lymphocytes nor Cytotoxic T Cells Predict Enhanced Benefit from Chemotherapy in the DBCG77B Phase III Clinical Trial.

Authors:  Elahe Shenasa; Elisabeth Specht Stovgaard; Maj-Britt Jensen; Karama Asleh; Nazia Riaz; Dongxia Gao; Samuel Leung; Bent Ejlertsen; Anne-Vibeke Laenkholm; Torsten O Nielsen
Journal:  Cancers (Basel)       Date:  2022-08-05       Impact factor: 6.575

8.  CDK Inhibition Primes for Anti-PD-L1 Treatment in Triple-Negative Breast Cancer Models.

Authors:  Anthony Cheung; Alicia M Chenoweth; Jelmar Quist; Heng Sheng Sow; Christina Malaktou; Riccardo Ferro; Ricarda M Hoffmann; Gabriel Osborn; Eirini Sachouli; Elise French; Rebecca Marlow; Katie E Lacy; Sophie Papa; Anita Grigoriadis; Sophia N Karagiannis
Journal:  Cancers (Basel)       Date:  2022-07-11       Impact factor: 6.575

  8 in total

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